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Global Mittag-Leffler synchronization of coupled delayed fractional reaction-diffusion Cohen-Grossberg neural networks via sliding mode control.
Kao, Yonggui; Cao, Yue; Chen, Xiangyong.
Afiliación
  • Kao Y; Department of Mathematics, Harbin Institute of Technology, Weihai 264209, China.
  • Cao Y; Department of Mathematics, Harbin Institute of Technology, Weihai 264209, China.
  • Chen X; School of Automation and Electrical Engineering, Linyi University, Linyi 276005, China.
Chaos ; 32(11): 113123, 2022 Nov.
Article en En | MEDLINE | ID: mdl-36456319
This paper studies the sliding mode control method for coupled delayed fractional reaction-diffusion Cohen-Grossberg neural networks on a directed non-strongly connected topology. A novel fractional integral sliding mode surface and the corresponding control law are designed to realize global Mittag-Leffler synchronization. The sufficient conditions for synchronization and reachability of the sliding mode surface are derived via the hierarchical method and the Lyapunov method. Finally, simulations are provided to verify our theoretical findings.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación Tipo de estudio: Prognostic_studies Idioma: En Revista: Chaos Asunto de la revista: CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación Tipo de estudio: Prognostic_studies Idioma: En Revista: Chaos Asunto de la revista: CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos